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Mutexer is a modern industrial control platform that integrates AI, IoT, and real-time automation. While designed for secure industrial digitization, understanding its components can help cybersecurity professionals assess vulnerabilities in similar systems.
You Should Know:
1. Full-Stack Factory Digitization & Real-Time Control
Mutexer enables real-time machine control via apps. Test similar systems using:
Check open industrial ports (Modbus default: 502, BACnet: 47808) nmap -p 502,47808 <target_IP> PLC exploitation framework (Metasploit) use auxiliary/scanner/scada/modbusclient set RHOSTS <target_IP> run
2. AI Vision & Object Detection
AI-driven industrial systems may use TensorFlow or PyTorch. Verify model integrity:
Check for insecure AI model uploads curl -X GET http://<target_IP>/api/models --header "Authorization: Bearer <token>"
3. Smart Building Integrations (BACnet/Modbus/MQTT)
Exploit weak authentication in IoT protocols:
MQTT brute-force (use with caution)
import paho.mqtt.client as mqtt
client = mqtt.Client()
client.connect("<broker_IP>", 1883, 60)
client.publish("factory/control", "malicious_payload")
4. Remote Monitoring & Edge Data Collection
Edge devices often lack encryption. Sniff traffic:
Capture industrial protocol traffic tcpdump -i eth0 'port 47808 or port 1883' -w bacnet_mqtt.pcap
- Industrial Dashboards & OEE (Operational Equipment Effectiveness)
Default credentials in HMI panels (e.g., “admin:admin”):
Bruteforce HTTP login hydra -l admin -P rockyou.txt <target_IP> http-post-form "/login:username=^USER^&password=^PASS^:F=incorrect"
6. Secure Cloud Connectivity & Device Updates
Check for firmware vulnerabilities:
Extract firmware from OTA updates binwalk -e firmware_update.bin
What Undercode Say:
Industrial automation platforms like Mutexer are prime targets for cyberattacks due to legacy protocols (Modbus/BACnet) and weak edge security. Always:
– Patch SCADA systems (e.g., Siemens, Rockwell).
– Segment OT/IT networks to limit lateral movement.
– Monitor MQTT brokers for unauthorized publish/subscribe.
– Audit AI models for adversarial manipulation.
Linux command to detect suspicious industrial process ps aux | grep -E 'modbus|bacnet|mqtt'
Prediction:
By 2026, AI-powered industrial attacks will rise, targeting vision systems and OEE dashboards. Expect ransomware targeting PLCs via cloud updates.
Expected Output:
- Industrial protocol exploitation (Modbus/BACnet/MQTT).
- AI model integrity checks.
- Firmware reverse-engineering.
- Network segmentation bypass techniques.
Relevant URL: Mutexer Capability Statement (Request PDF for architecture details).
References:
Reported By: Milorad Srdic – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
